Join Pune's Top Data Science Classes Today- 100% Placement Guarantee!

Build your "Data Science with AI" career in Pune with our guaranteed job placement program!

Earn a recognized Data Science certification
Learn AI, ML, Python, SQL, Deep Learning, Frameworks, Statistics
Work on industry-based Live Projects

1k+ Reviews

1k+ Reviews

3-6 MonthsCourse
FlexibleTimings
Real TimeProjects
10+ LearningTools
2000+ StudentsPlaced
30LPA(Highest Salary)
350+ HiringPartners

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Our Placement Process

Eligibility Criteria

Placement Training

Personal Branding

Interview Q&A

Resume Building

Mock Interviews

Interview Scheduling

Job Placement

Key Highlights of our Data Science and Artificial Intelligence Course

100% Job Assurance (Unlimited Interview Calls)

Practical Based Learning Module

Data Science Certification Program

Weekly/Weekend Flexible Batches

Expert Mentorship and 24/7 Support

Career Guidance and Personalized Resume Building Assistance

Data Science Curriculum

Foundation

Establish a strong foundation with core principles and fundamental knowledge.

Basic Programming for Data Science

Foundation

This course module introduces learners to basic programming concepts, including variables, data types, control structures, and functions. It covers topics such as data types, variables, operators, loops, conditionals, and functions, along with practical programming examples and exercises.

What will you achieve?

Understanding of basic programming concepts
Familiarity with various programming languages
Practical programming skills

Topics

Variables
Data Types
Operators
Control Structures

Functions
Loops
Conditionals
Recursion
Input/Output
Error Handling

Core Track

Python Programming

Core Track

The course module immerses learners in Python programming, guiding them through the use of various Python data science libraries to perform critical tasks such as mathematical computations and data manipulation. Additionally, it covers data visualization techniques using Python.

What will you achieve?

Proficiency in Python Programming
Mastery of Data Science Libraries
Practical Data Analysis Skills

Topics

Python Introduction
Control Structures
Functions
Working with Strings
Object Oriented Programming (OOPS)
Modules and Packages
File Handling
Error and Exception Handling
Working with Libraries (NumPy, pandas, Matplotlib etc)
Data Visualization

SQL

Core Track

This module introduces learners to SQL programming, covering essential techniques for querying databases and creating datasets for data analysis. You will learn how to write efficient SQL queries, manipulate data, and prepare it for comprehensive analysis. By the end of this course, you will have the skills to interact with databases and perform data extraction and transformation tasks proficiently.

What will you achieve?

Proficiency in writing SQL queries.
Ability to retrieve and manipulate data from databases.
Skills to create and manage datasets for analysis.
Understanding of data extraction and transformation techniques.

Topics

Introduction to SQL and databases
Writing basic SQL queries
Filtering and sorting data
Joining tables and combining data
Aggregating data with GROUP BY and HAVING
Subqueries and nested queries
Data manipulation with INSERT, UPDATE, and DELETE
Creating and managing tables and schemas
Optimizing queries for performance

Machine Learning

Core Track

This module offers a comprehensive introduction to machine learning, detailing how various algorithms function and their applications. You will explore model optimization and tuning techniques, gaining insights into how organizations leverage machine learning to address challenges and drive growth.

What will you achieve?

Understand key machine learning algorithms.
Optimize and tune models.
Learn how ML is used in real-world business applications.
Evaluate and improve model performance.

Topics

Introduction to machine learning
Overview of key ML algorithms
Model optimization techniques
Hyperparameter tuning
Evaluating model performance
Real-world ML applications
Case studies of ML in business

Statistics

Core Track

This module introduces learners to the fundamentals of statistics, focusing on how to review, analyze, and interpret data effectively. You will apply mathematical models to relevant variables, enhancing your ability to draw meaningful conclusions and conduct robust data analysis.